Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Modeling and simulation for predictive building control using high-resolution climateforecasting

The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs Inc. (GPLI) and Dalhousie University propose to use high-resolution climate forecasting at the sub-hourly and building level resolution (e.g. 15 minute, 5 m) to enhance the accuracy of the forecast utilized in predictive building control. In this project, the Post-Doctoral Fellow, in collaboration GPLI, will carry out advanced building performance simulation to determine the energy/cost/greenhouse-gas-emission performance of such technology applied to a range of commercial buildings in a range of climates. This project will benefit GPLI by defining performance and optimal markets as they rollo-out the new high-resolution forecast and predictive building control technology

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Faculty Supervisor:

Lukas Swan

Student:

Partner:

Green Power Labs Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

Dalhousie University

Program:

Elevate

Vers une meilleure accessibilité communicationnelle : Identifier les obstacles rencontrés par les personnes vivant avec une aphasie dans les institutions financières

Les personnes vivant avec un handicap communicationnel peuvent rencontrer des défis lors de l’utilisation de certains services dont ceux offerts par les institutions financières. Ce projet vise à établir l’état actuel de l’accessibilité communicationnelle dans les institutions financières au Québec. En questionnant des personnes vivant avec une aphasie et leurs proches ainsi que des employés d’institutions financières, le projet contribuera à identifier précisément les obstacles et limites vécus en lien avec les différents services offerts dans les institutions financières. Le projet permettra de mieux comprendre quelles politiques sont actuellement en vigueur dans les institutions financières et comment les différentes mesures s’actualisent sur le terrain. Une meilleure compréhension de ces deux éléments permettra à court terme de sensibiliser les institutions financières aux obstacles et limites relevés. À moyen terme, des stratégies et moyens concrets, tant au plan humain qu’environnemental, seront proposés et, si ceux-ci sont adoptés par les institutions financières, elles auront un impact positif tangible sur l’expérience vécue par les personnes aphasiques lorsqu’elles fréquentent ces institutions.

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Faculty Supervisor:

Valérie Poulin;Laura Monetta

Student:

Partner:

ARTÈRE Québec

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

En amont de la transformation numérique des PME : l’entrepreneur-dirigeant, un catalyseur d’innovation

Suivant le constat de plus en partagé par les acteurs des écosystèmes d’affaires du Québec que les échecs sont fréquents et les succès souvent timides en matière d’innovation à l’ère numérique, il convient de revenir aux sources. Dans l’objectif d’investiguer les leviers et les barrières qui se dressent au niveau individuel lors d’une transformation numérique en contexte de PME, le projet vise la réalisation d’une revue des écrits scientifiques intégrative des connaissances existantes concernant les personnes qui sont au cœur même des décisions en la matière, soit les entrepreneurs et dirigeants de PME. Grâce à une meilleure compréhension de ce qui se passe en amont de ladite transformation, les contributions attendues sont, à la fois, théoriques et pratiques. Par l’intermédiaire du réseau de l’organisme-partenaire, Économie du Savoir Mauricie (ESM), les connaissances produites seront, en outre, rapidement actionnables par d’autres acteurs clés dont la mission est de collaborer pour soutenir le développement socioéconomique régional.

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Faculty Supervisor:

Claudia Pelletier

Student:

Partner:

Economie du Savoir Mauricie

Discipline:

Business

Sector:

Other services (except public administration)

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Artificial Intelligence (AI) and the Future of Primary Health Care (PHC): A preparation Model

The health system, as a vital part of any society, and the Primary Health Care (PHC) system as its heart play an important and outstanding role in responding to people’s needs. Responding to these demands has always been accompanied by challenges, which will undoubtedly become more serious in the near future with the emergence of new phenomena. Artificial Intelligence (AI) and AI-based technologies are the most prominent ones. It can be said that AI has not only brought challenges to the health system but also created golden opportunities for it. Aachieving benefits from AI implementation in PHC systems is one aspect, and being prepared for sufficient utilization is another aspect. This confirms the importance of being conscious in facing AI implementation and its future changes for the PHC systems. To meet this necessity, this study wants to present a preparation model that can guide PHC systems in implementing AI-based technologies. The study will be done in three phases using an exploratory mixed methods design of qualitative and quantitative research, including systematic reviews, site visits, interviewing PHC professionals and AI health experts, and running the Delphi method for model consensus.

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Faculty Supervisor:

Maude Laberge

Student:

Partner:

Kerman University of Medical Science

Discipline:

Business

Sector:

Artificial Intelligence; Health and Related Sciences & Technology

University:

Université Laval

Program:

Globalink Research Award

Community Grocery Store Model Feasibility Study: Towards Equitable and Culturally Appropriate Food Security in Rexdale

In partnership with the Rexdale Community Hub (RCH), this project involves undertaking a locally-informed feasibility study to assess the viability of a ‘Community Grocery Store’ model that provides affordable, accessible, culturally appropriate food in Rexdale (a Neighbourhood Improvement Area in Toronto). The intern will help train community-members to co-create and implement focus groups and interviews to inform the feasibility study that will consider community needs, ‘prototype’ requirements (e.g. space, staffing, costs, etc.) and desirability, viability and feasibility factors. The intern will coordinate community-based design charrettes to further assess the chosen prototype model and logistical planning, and then assess stakeholders’ reactions during the piloting of the selected prototype. This project will support the RCH’s efforts to help residents and small food retail businesses navigate post-pandemic recovery. The RCH strives to develop local capacity in order to shift from emergency food dependency models towards more community-determined food access alternatives.

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Faculty Supervisor:

Sara Edge

Student:

Partner:

Rexdale Community Hub

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

Toronto Metropolitan University; University of Guelph

Program:

Accelerate

Paired-image enhancement for smartphone cameras

This project aims to develop enhancement techniques for high-resolution imaging on smartphone devices. The project will focus on a specific imaging modality where a pair of images are captured in succession: a high-resolution image (108 mega-pixel) and a corresponding low-resolution image (12 mega-pixel). Due to the small pixel size in the sensor used to capture the high-resolution image, the high-resolution image contains significantly more noise than the low-resolution image. Currently, the noise of the high-resolution camera makes images captured in low-light scenes visually unacceptable. This project aims to leverage the information in the pair of images to produce a high-quality, high-resolution image.

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Faculty Supervisor:

David Lindell

Student:

Partner:

Samsung Electronics Canada

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology; New and Digital Media

University:

University of Toronto

Program:

Accelerate

Sustainability framework for early-stage entrepreneurships

This project will explore the measures of sustainability described by Environmental, Social and Governance (ESG) measures; find the key measures that venture capital investors review to make their investment decisions and create a framework to integrate sustainability measures within the early-stage entrepreneurship. This will not only promote the sustainability of the entrepreneurial venture but will also integrate them into the Canadian economy and help our economy prosper within the context and priorities of sustainability as described by the United Nations Sustainable Development Goals and Agenda 2030.

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Faculty Supervisor:

Ruben Burga

Student:

Partner:

Altitude Accelerator

Discipline:

Business

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

The use of eDNA as a tool to augment gill net sampling for fish community monitoring

Traditional monitoring of fish community using gillnets is a well-established standard but comes with biases associated with selectivity of net sizes as well as significantly mortality of caught fish. Environmental DNA (eDNA) is rapidly becoming the new standard in fish and wildlife monitoring because it is less susceptible to biases, and it eliminates animal mortality. The latter is obviously important for threatened species. Despite the benefits of eDNA for aquatic monitoring, much is still not known about the efficiency and accuracy of using eDNA to assess fish communities across the broad range of environmental conditions seen in nature. The proposed project aims to address this important shortcoming by assessing eDNA variability as a function of key environmental parameters such as type of freshwater system (lacustrine vs riverine), seasonality (fall vs spring), and water quality (e.g., turbidity, pH). The information gained will be instrumental for the assessment of eDNA as a relevant tool for fish community monitoring in Manitoba.

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Faculty Supervisor:

Caleb Hasler;Jean-Pierre Desforges

Student:

Partner:

Manitoba Hydro

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Utilities

University:

University of Winnipeg

Program:

Accelerate

Development of Graphene-Based Anode Materials for Li-Ion Batteries

Lithium-ion batteries (LIBs) have become a critical energy storage device in various applications, such as portable electronic devices, electric vehicles, and grid storage, due to their high energy density and good rate capabilities. Carbon-based materials have been widely used as anode materials for lithium-ion batteries. Among them, graphite is the most common anode material used in commercial LIBs. However, it suffers from some issues such as low specific capacity, layer exfoliation and mechanical fracture during cycling, as well as lithium dendrite formation due to constant volumetric changes, which negatively impacts the cyclic performance. Therefore, new anode materials with improved performance are required to meet the increasing demand for high-performance LIBs. Graphene-based materials with attractive properties are promising anode materials to make revolutionary breakthroughs in the field of electrochemical energy storage. In this Project, we will evaluate the electrochemical performance of graphene-based materials obtained from a petroleum waste to develop a high-performance anode material for lithium-ion batteries.

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Faculty Supervisor:

Al Meldrum

Student:

Partner:

Synanos

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Environmental quality assessment and mitigation measure implementation for Osisko lake restoration

The proposed research project will target the assessment of the environmental quality of Osisko lake and the implementation of a mitigation measure for lake restoration. The first master student will work on the evaluation of chemical pollution and the profiling the microbial community existing in the lake. The second master student will be in charge of the implementation of a bioremediation approach consisting of using calcite-producing bacteria (Microbiologically included CaCO3 production (MICP)) to limit the mobility and bioavailability of metals in Osisko waters and sediments. This project will provide an optimized bioremediation technology that could be applied by different stakeholders in pilot scale to improve the environmental quality of Osisko lake and protect its ecological and recreational functions.

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Faculty Supervisor:

Mebarek Lamara;Carsten Meyer-Jacob;Carsten Meyer-Jacob

Student:

Partner:

Centre technologique des résidus industriels

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Agriculture; Professional, scientific and technical services

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Splittings of Binomial Edge Ideals

A graph is a collection of nodes or points, called vertices, along with a collection of objects called edges, which connect some of the vertices. Graphs can be used to model a number of real world applications. For example, the world wide web can be represented by a node for each website, and an edge between vertices represents a link from one website to another. Understanding the structure of graphs can help us understand the structure of the web, and to help us ensure connections between various websites. In the last two decades, an area of mathematics, called combinatorial commutative algebra, has been developed to study graphs using algebraic tools. One associates with a given graph an algebraic object called an ideal. There are many different ways to do this; in the project, we are interested in studying algebra objects called binomial edge ideals.COur specific project is to understand if the these binomial edge ideals can be broken down (or “split”) into smaller binomial edge ideals; the hope is that these smaller ideals will be related to subsets of the original graph and further, give information about the larger ideas and graphs.

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Faculty Supervisor:

Adam Van Tuyl

Student:

Partner:

Indian Institute of Technology Madras

Discipline:

Mathematics

Sector:

Other; Information and Communications Technology

University:

McMaster University

Program:

Globalink Research Award

Thales : Humain-Autonomie Teaming (HAT) pour les véhicules aériens sans pilote

Le contexte du projet se situe dans le domaine de l’interaction entre l’humain et les agents autonomes (humanautonomy teaming; HAT), plus particulièrement dans le cas d’usage touchant l’aérospatiale. Thales souhaite étudier les mécanismes pour que ces deux agents (humain et machine) puissent devenir coéquipiers formant un système cognitif conjoint (joint cognitive system). L’étude consiste à analyser les méthodes de collaboration de ces deux agents dans un contexte d’allocation dynamique de tâches entre un opérateur et agent autonome aérien tel qu’un drone. En employant des méthodes d’intelligence artificielle Thales développe des algorithmes qui peuvent permettre à Thales de construire un pont entre les deux agents pour permettre de solidifier leur relation, leur performance et la compréhension de chacun tout en soulevant les axes de transparence, d’explicabilité et d’humain dans la boucle. Ce stage se concentre sur l’aspect agent intelligent du projet.

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Faculty Supervisor:

Christian Gagné;Audrey Durand

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

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